Tabrez Jafar

22 papers receiving 357 citations

Peers

Tabrez Jafar
Comparison fields: 5 of 84
  • Nephrology 52
  • Endocrine and Autonomic Systems 46
  • Pharmacology 41
  • Physiology 80
  • Orthopedics and Sports Medicine 26
Replace Nešina Avdagić with:
Nešina Avdagić Bosnia and Herzegovina
Murat Bolayırlı Türkiye
Ümit Karayalçın Türkiye
Mine Yavuz Taşlıpınar Türkiye
Krithika Srikanthan United States
Xiaohong Jiang China
Juliana F. Saldanha Brazil
Sabahattin Muhtaroğlu Türkiye
Emre Entok Türkiye
Seldağ Bekpınar Türkiye
Tabrez Jafar relative to Nešina Avdagić Bosnia and Herzegovina Nešina Avdagić's profile →
Citations per field
00.5×4.3×
Nešina Avdagić · 1×
Citations per year

Countries citing papers authored by Tabrez Jafar

Since Specialization
Citations

This map shows the geographic impact of Tabrez Jafar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tabrez Jafar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabrez Jafar more than expected).

Fields of papers citing papers by Tabrez Jafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tabrez Jafar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tabrez Jafar. The network helps show where Tabrez Jafar may publish in the future.

Co-authors

The 25 scholars most cited alongside Tabrez Jafar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tabrez Jafar Line = papers co-authored together Tabrez Jafar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Serum resistin is not associated with obesity or insulin resistance in humans.
200568
2 201957
3 201141
4 201134
5 200833
6 201127
7 200823
8 201719
9 202017
10 200814
11 201813
12 20117
13 20094
14 20203
15
Osteocalcin HindIII gene polymorphism not associated with bone mineral density—A study in North Indian postmenopausal osteoporotic women.
20162
16 20211
17 20221
18 20251
19 20211
20 20091

About Tabrez Jafar

Tabrez Jafar is a scholar working on Molecular Biology, Nephrology, Pathology and Forensic Medicine, Orthopedics and Sports Medicine and Health, Toxicology and Mutagenesis, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (4 papers), Renal Diseases and Glomerulopathies (4 papers), Vitamin D Research Studies (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Celiac Disease Research and Management (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Nephrology (52 citations), Endocrine and Autonomic Systems (46 citations), Pharmacology (41 citations), Physiology (80 citations) and Orthopedics and Sports Medicine (26 citations). Tabrez Jafar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Suraksha Agrawal, Abbas Ali Mahdi, Gaurav Tripathi, Prakash Seshadri, Linda Stern, N Iqbal, Arun Kumar Singh, Sultan Ahmad, Sudhir Kumar and Shally Awasthi. Their work appears in journals such as Gene, Cytokine, Clinical Biochemistry, Pediatric Nephrology and Journal of Health and Pollution.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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